Short-term prediction of the power of a new wind turbine based on IAO-LSTM

Short-term prediction of the power of a new wind turbine based on IAO-LSTM

Short-term wind power forecasting is of great significance to the real-time dispatching of power systems, but the short-term forecasting accuracy of wind power is not high. To this end, this paper proposes a hybrid prediction model that combines the Isolated Forest algorithm, the Synchronous Squeeze...

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Bibliographic Details
Main Authors: Zheng Li, Xiaorui Luo, Mengjie Liu, Xin Cao, Shenhui Du, Hexu Sun
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Wind power prediction
New wind turbine
Aquila Optimizer
LSTM network
Online Access:http://www.sciencedirect.com/science/article/pii/S235248472201294X

Internet

http://www.sciencedirect.com/science/article/pii/S235248472201294X

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